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DeepClassPathway: Molecular pathway aware classification using explainable deep learning.
Lombardo, Elia; Hess, Julia; Kurz, Christopher; Riboldi, Marco; Marschner, Sebastian; Baumeister, Philipp; Lauber, Kirsten; Pflugradt, Ulrike; Walch, Axel; Canis, Martin; Klauschen, Frederick; Zitzelsberger, Horst; Belka, Claus; Landry, Guillaume; Unger, Kristian.
Affiliation
  • Lombardo E; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Hess J; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Nec
  • Kurz C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Riboldi M; Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Garching, 85748, Germany.
  • Marschner S; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Baumeister P; Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Lauber K; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Neck Cancer", Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.
  • Pflugradt U; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Neck Cancer", Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.
  • Walch A; Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Garching, 85748, Germany; Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany.
  • Canis M; Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Klauschen F; Institute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany; German Cancer Consortium (DKTK), Partner Site Munich, Munich, 81377, Germany.
  • Zitzelsberger H; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Nec
  • Belka C; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Neck Cancer", Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; German Cancer Consortium (D
  • Landry G; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany.
  • Unger K; Department of Radiation Oncology, University Hospital, LMU Munich, Munich, 81377, Germany; Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, German Research Center for Environmental Health GmbH, Neuherberg, Germany; Clinical Cooperation Group "Personalized Radiotherapy in Head and Nec
Eur J Cancer ; 176: 41-49, 2022 11.
Article in En | MEDLINE | ID: mdl-36191385
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Papillomavirus Infections / Deep Learning / Head and Neck Neoplasms Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Eur J Cancer Year: 2022 Document type: Article Affiliation country: Germany Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Papillomavirus Infections / Deep Learning / Head and Neck Neoplasms Type of study: Prognostic_studies Limits: Humans / Male Language: En Journal: Eur J Cancer Year: 2022 Document type: Article Affiliation country: Germany Country of publication: United kingdom